Correcting missing-data bias in historical demography

Bibliographic Data

ID5020679
AuthorsMarianne A Jonker (0000-0003-0134-8482, Vrije Universiteit Amsterdam), A W Van Der Vaart (Vrije Universiteit Amsterdam), Aad van der Vaart (0000-0002-8074-2375, Vrije Universiteit Amsterdam)
Year2007
Volume61
Issue1
Pages99-113
Publication date2007-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePopulation Studies (JOURNAL)
Journal identifiersISSN: 0032-4728 • E-ISSN: 1477-4747
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00324720601048228
PMID17365876
OpenAlexW2134543481
LanguageEN
Citations received9
References cited21

Studies on population history are often based on incomplete records of life histories. For instance, in studies using data obtained from family reconstitution, the date of death is right censored (by migration) and the censoring time is never observed. Several methods for the correction of mortality estimates are proposed in the literature, most of which first estimate the number of individuals at risk and then use standard techniques to estimate mortality. Other methods are based on statistical models. In this paper all methods are reviewed, and their merits are compared by applying them to simulated and to seventeenth-century data from the English parish of Reigate. An ad hoc method proposed by Ruggles performs reasonably well. Methods based on statistical models, provided they are sufficiently realistic, give comparable accuracy and allow the estimation of several other quantities of interest, such as the distribution of migration times

Censoring (clinical trials) · Econometrics · Economics · Estimation · Genealogy · Historical demography · Maximum likelihood · Missing data · Population · Research methodology · Sociology · Statistics · Census and Population Estimation · Computer Science · demographic modeling and climate adaptation · Demography · History · Insurance, Mortality, Demography, Risk Management · Mathematics

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